98 datasets found
  1. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  2. Cost of Living Index 2022

    • kaggle.com
    Updated May 28, 2022
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    Ankan Hore (2022). Cost of Living Index 2022 [Dataset]. https://www.kaggle.com/datasets/ankanhore545/cost-of-living-index-2022
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 28, 2022
    Dataset provided by
    Kaggle
    Authors
    Ankan Hore
    Description

    Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods prices, including groceries, restaurants, transportation and utilities. Cost of Living Index does not include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo has estimated it is 20% more expensive than New York (excluding rent).

    Please refer further to: https://www.numbeo.com/cost-of-living/cpi_explained.jsp for motivation and methodology.

    All credits to https://www.numbeo.com .

    This dataset would surely help socio-economic researchers to analyse and get deeper insights regarding the life of people country-wise.

    Thanks to @andradaolteanu for the motivation! Upwards and onwards...

  3. Cost of living in selected cities worldwide 2025, by price index

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Cost of living in selected cities worldwide 2025, by price index [Dataset]. https://www.statista.com/statistics/262806/worldwide-exclusive-rent-index/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    Zurich, Lausanne, and Geneva were ranked as the most expensive cities worldwide with indices of ************************ Almost half of the 11 most expensive cities were in Switzerland.

  4. Regional Cost of Living Analysis

    • kaggle.com
    Updated Nov 30, 2024
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    Heidar Mirhaji Sadati (2024). Regional Cost of Living Analysis [Dataset]. https://www.kaggle.com/datasets/heidarmirhajisadati/regional-cost-of-living-analysis
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 30, 2024
    Dataset provided by
    Kaggle
    Authors
    Heidar Mirhaji Sadati
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset provides insights into the cost of living and average monthly income across various countries and regions worldwide from 2000 to 2023. It includes critical economic indicators such as housing costs, taxes, healthcare, education, transportation expenses, and savings rates. The data is ideal for analyzing economic trends, regional comparisons, and financial planning.

    Column Descriptions: Country: The name of the country where the data was recorded. Region: The geographical region to which the country belongs (e.g., Asia, Europe). Year: The year when the data was recorded. Average_Monthly_Income: The average monthly income of individuals in USD. Cost_of_Living: The average monthly cost of living in USD, including essentials like housing, food, and utilities. Housing_Cost_Percentage: The percentage of income spent on housing expenses. Tax_Rate: The average tax rate applied to individuals' income, expressed as a percentage. Savings_Percentage: The portion of income saved monthly, expressed as a percentage. Healthcare_Cost_Percentage: The percentage of income spent on healthcare services. Education_Cost_Percentage: The percentage of income allocated to educational expenses. Transportation_Cost_Percentage: The percentage of income spent on transportation costs.

  5. Cost of living index in India 2024, by city

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Cost of living index in India 2024, by city [Dataset]. https://www.statista.com/statistics/1399330/india-cost-of-living-index-by-city/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of September 2024, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

  6. 🛒🏷️🛍️ Cost of living

    • kaggle.com
    Updated Sep 14, 2023
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    meer atif magsi (2023). 🛒🏷️🛍️ Cost of living [Dataset]. https://www.kaggle.com/datasets/meeratif/cost-of-living
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    meer atif magsi
    Description

    Cost of Living - Country Rankings Dataset

    Context:

    The "Cost of Living - Country Rankings Dataset" provides comprehensive information on the cost of living in various countries around the world. Understanding the cost of living is crucial for individuals, businesses, and policymakers alike, as it impacts decisions related to travel, relocation, investment, and economic analysis. This dataset is intended to serve as a valuable resource for researchers, data analysts, and anyone interested in exploring and comparing the cost of living across different nations.

    Content:

    This dataset comprises four primary columns:

    1. Countries: This column contains the names of various countries included in the dataset. Each country is identified by its official name.

    2. Cost of Living: The "Cost of Living" column represents the cost of living index or score for each country. This index is typically calculated by considering various factors, such as housing, food, transportation, healthcare, and other essential expenses. A higher index value indicates a higher cost of living in that particular country, while a lower value suggests a more affordable cost of living.

    3. 2017 Global Rank: This column provides the global ranking of each country's cost of living in the year 2017. The ranking is based on the cost of living index mentioned earlier. A lower rank indicates a lower cost of living relative to other countries, while a higher rank suggests a higher cost of living position.

    4. Available Data: The "Available Data" column indicates whether or not data for a specific country and year is available.

    This dataset is designed to support various data analysis and visualization tasks. Users can explore trends in the cost of living, identify countries with high or low cost of living, and analyze how rankings have changed over time. Researchers can use this dataset to conduct in-depth studies on the factors influencing the cost of living in different regions and the economic implications of such variations.

    Please note that the dataset includes information for the year 2017, and users are encouraged to consider this when interpreting the data, as economic conditions and the cost of living may have changed since then. Additionally, this dataset aims to provide a snapshot of cost of living rankings for countries in 2017 and may not cover every country in the world.

    Link: https://www.theglobaleconomy.com/rankings/cost_of_living_wb/

    Disclaimer: The accuracy and completeness of the data provided in this dataset are subject to the source from which it was obtained. Users are advised to cross-reference this data with authoritative sources and exercise discretion when making decisions based on it. The dataset creator and Kaggle assume no responsibility for any actions taken based on the information provided herein.

  7. Cost of living indices Singapore 2024, by category

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Cost of living indices Singapore 2024, by category [Dataset]. https://www.statista.com/statistics/1551867/singapore-cost-of-living-index-by-category/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Singapore
    Description

    In 2024, Singapore's cost of living index was at ****, compared to that of New York City as a base of 100. This meant that Singapore was about ** percent more affordable than New York City. With a local purchasing power index of ***, residents with an average salary in Singapore are able to afford more goods and services compared to the base city of New York City. In that year, Singapore had the highest cost of living index in Asia.

  8. Cost of living index Thailand 2014-2023

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Cost of living index Thailand 2014-2023 [Dataset]. https://www.statista.com/statistics/1535763/thailand-cost-of-living-index/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    In 2023, Thailand had a cost of living index score of ****, indicating a slight decrease compared to the previous year. In the Asia Pacific region, Seoul, the capital city of South Korea, had the highest cost of living index in that year.

  9. G

    Cost of living by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 22, 2021
    + more versions
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    Globalen LLC (2021). Cost of living by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/
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    csv, xml, excelAvailable download formats
    Dataset updated
    May 22, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World, World
    Description

    The average for 2021 based on 165 countries was 79.81 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  10. d

    Living Wage

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 27, 2024
    + more versions
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    California Department of Public Health (2024). Living Wage [Dataset]. https://catalog.data.gov/dataset/living-wage-72c58
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Health
    Description

    This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

  11. p

    Cost of living in Toronto for low-income households - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated May 20, 2025
    + more versions
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    (2025). Cost of living in Toronto for low-income households - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households
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    Dataset updated
    May 20, 2025
    Area covered
    Toronto
    Description

    The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB). All values are rounded to the nearest dollar.

  12. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Aug 28, 2024
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    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
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    xlsx, pdf, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

  13. Cost of Living Survey & Statistics 2024

    • budgetdirect.com.au
    Updated Jun 19, 2024
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    Budget Direct (2024). Cost of Living Survey & Statistics 2024 [Dataset]. https://www.budgetdirect.com.au/life-insurance/articles/cost-of-living-survey-statistics.html
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    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Budget Directhttps://www.budgetdirect.com.au/
    Area covered
    Australia
    Variables measured
    Cost of living expenses
    Description

    Find out how Australians feel about the increasing cost of living in our latest survey, as well as the latest data from the Cost of Living Index in 2024.

  14. a

    Housing Cost Burden City of Bozeman

    • hub.arcgis.com
    • public-bozeman.opendata.arcgis.com
    • +1more
    Updated Sep 13, 2023
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    City of Bozeman, Montana (2023). Housing Cost Burden City of Bozeman [Dataset]. https://hub.arcgis.com/maps/bozeman::housing-cost-burden-city-of-bozeman
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    Dataset updated
    Sep 13, 2023
    Dataset authored and provided by
    City of Bozeman, Montana
    Area covered
    Bozeman
    Description

    This feature service contains data from the American Community Survey: 5-year Estimates Subject Tables for the greater Bozeman, MT area. The attributes come from the Financial Characteristics table (S2503). Processing Notes:Data was downloaded from the U.S. Census Bureau and imported into FME to create an AGOL Feature Service. Each attribute has been given an abbreviated alias name derived from the American Community Survey (ACS) categorical descriptions. The Data Dictionary below includes all given ACS attribute name aliases. For example: Rent_35kto50k_20to29pcnt is equal to the percentage of the population living in a renter-occupied household, with an annual household income of $35,000 to $50,000, spending between 20% to 29% of their income on housing costs in the past 12 months. Data DictionaryACS_EST_YR: American Community Survey 5-Year Estimate Subject Tables data yearGEO_ID: Census Bureau geographic identifierNAME: Specified geographyOwn: Percent of population living in an Owner-occupied householdRent: Percent of population living in a Renter-occupied householdAnnual Household Income20kto35k: Annual household income of $20,000 to $34,99935kto50k: Annual household income of $35,000 to $49,99950kto75k: Annual household income of $50,000 to $74,999Over75k: Annual household income of over $75,000Housing Cost BurdenUnder_20pcnt: Monthly housing costs under 20% of household income in the past 12 months20to29pcnt: Monthly housing costs of 20-29% of household income in the past 12 months30pcntOrMore: Monthly housing costs of over 30% of household income in the past 12 monthsDownload ACS Financial Characteristics data for the greater Bozeman, MT areaAdditional LinksU.S. Census BureauU.S. Census Bureau American Community Survey (ACS)About the American Community Survey

  15. Dataset for the Cost of Living Index as a Primary Driver of Homelessness

    • zenodo.org
    bin
    Updated Sep 20, 2023
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    Thomas F. Heston; Thomas F. Heston (2023). Dataset for the Cost of Living Index as a Primary Driver of Homelessness [Dataset]. http://doi.org/10.5281/zenodo.8361378
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    binAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Thomas F. Heston; Thomas F. Heston
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    SPSS data file

    SPSS output file

    Excel data and sources file

    Excel data only file for use with python processing (program on Github and archived on Zenodo)

  16. The world's most expensive cities to live

    • statista.com
    Updated Feb 17, 2012
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    Statista (2012). The world's most expensive cities to live [Dataset]. https://www.statista.com/statistics/264675/the-worlds-most-expensive-cities-to-live/
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    Dataset updated
    Feb 17, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2012
    Area covered
    World
    Description

    The graph shows the world's most expensive cities to live, compared to New York City. Zurich is with a value of 170 the most expensive city to live.

  17. How expensive are living costs in your area?

    • hrtc-oc-cerf.hub.arcgis.com
    Updated Aug 29, 2019
    + more versions
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    Urban Observatory by Esri (2019). How expensive are living costs in your area? [Dataset]. https://hrtc-oc-cerf.hub.arcgis.com/datasets/UrbanObservatory::how-expensive-are-living-costs-in-your-area-1
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    Dataset updated
    Aug 29, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map shows how expensive an area is based on a score determined by education, healthcare, housing, food, and transportation spending. A higher score means more is spent on living expenses. Areas in orange-red are more expensive while areas in yellow-blue are less expensive. Size is the total amount spent (in $) for all 5 categories.Data is available from state to tract level from Esri's updated demographics.

  18. n

    Cost of Living Comparison: EU Countries

    • n26.com
    Updated Feb 20, 2025
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    (2025). Cost of Living Comparison: EU Countries [Dataset]. https://n26.com/en-at/blog/tips-for-moving-to-another-country
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    Dataset updated
    Feb 20, 2025
    Description

    A table comparing the cost of living in various European Union countries, including expenses for rent, utilities, food, and transportation in major cities

  19. d

    Housing Cost Burden by Race

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    Updated Jan 31, 2025
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    City of Seattle ArcGIS Online (2025). Housing Cost Burden by Race [Dataset]. https://catalog.data.gov/dataset/housing-cost-burden-by-race-cea20
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing either housing cost burden (contributing more than 30% of monthly income toward housing costs) or severe housing cost burden (contributing more than 50% of monthly income toward housing costs).

  20. T

    Turkey Cost of Living Index: 95=100: Istanbul: Dwelling Expenses

    • ceicdata.com
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    CEICdata.com, Turkey Cost of Living Index: 95=100: Istanbul: Dwelling Expenses [Dataset]. https://www.ceicdata.com/en/turkey/cost-of-living-index-wage-earners-istanbul-1995100/cost-of-living-index-95100-istanbul-dwelling-expenses
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Türkiye
    Variables measured
    Cost of Living
    Description

    Turkey Cost of Living Index: 95=100: Istanbul: Dwelling Expenses data was reported at 23,676.100 1995=100 in Oct 2018. This records an increase from the previous number of 23,327.800 1995=100 for Sep 2018. Turkey Cost of Living Index: 95=100: Istanbul: Dwelling Expenses data is updated monthly, averaging 9,291.150 1995=100 from Jan 1996 (Median) to Oct 2018, with 274 observations. The data reached an all-time high of 23,676.100 1995=100 in Oct 2018 and a record low of 150.600 1995=100 in Jan 1996. Turkey Cost of Living Index: 95=100: Istanbul: Dwelling Expenses data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I012: Cost of Living Index: Wage Earners: Istanbul: 1995=100.

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Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
Organization logo

Cost of living index in the U.S. 2024, by state

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

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